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"QuickTip" - Proven Inconclusive
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QuickTip: Utilizing Machine Learning Methods to Identify Important Variables. Machine Learning is the field of scientific study that concentrates on induction algorithms and on other algorithms that can be said to learn. [1]. In order to identify important variables in a multivariate dataset one can utilize machine learning methods. There are many different machine learning algorithms for different tasks . QuickTip: Utilizing Machine Learning Methods to Identify Important Variables.
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Scientific Blogging with Pelican and Pandoc - Proven Inconclusive
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Scientific Blogging with Pelican and Pandoc. Thu 24 April 2014. Hinrich B. Winther. First of all a disclaimer: I am no expert in scientific blogging or even blogging in general. I have only participated in one other blog which failed miserably due to a lack of content. Formal Requirements for Scientific Texts. Prerequisite for scientific texts can be gathered by taking a look at traditional papers and abstracts:. Support for Figures, Tables and Equations. V32) is able to satisfy the requirement for struc...
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About Me - Proven Inconclusive
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Hinrich B. Winther. QuickTip: Utilizing Machine Learning Methods to Identify Important Variables. Spearman Correlation Heat Map with Correlation Coefficients and Significance Levels in R. Scientific Blogging with Pelican and Pandoc. 2015 Hinrich B. Winther · Powered by pelican-bootstrap3.
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Publications - Proven Inconclusive
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Congress Proceedings or Abstracts. Brochhausen C, Winther HB, Kirkpatrick CJ. Die Relevanz der Temperatur für zelluläre Veränderungen in der Kryokonservierung – Vergleich einer Langzeitlagerung bei -80°C und bei -196 °C. Tagungsband des 3 Nationalen Biobanken-Symposiums Berlin: TMF; 2014. Brochhausen C, Winther HB, Kirkpatrick CJ. Practical Application of Whole Slide Imaging in Biomaterial Science. Liverpool; 2014. Available from: http:/ esb2014.org/full programme.pdf. Winther HB, Brochhausen C, Brochhau...
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Projects - Proven Inconclusive
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Histological and pathological whole slide imaging. A Z-Push-2 backend for Open-Xchange. CIFS-crawler and search engine for LAN-environments in Python. QuickTip: Utilizing Machine Learning Methods to Identify Important Variables. Spearman Correlation Heat Map with Correlation Coefficients and Significance Levels in R. Scientific Blogging with Pelican and Pandoc. 2015 Hinrich B. Winther · Powered by pelican-bootstrap3.
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Spearman Correlation Heat Map with Correlation Coefficients and Significance Levels in R - Proven Inconclusive
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Spearman Correlation Heat Map with Correlation Coefficients and Significance Levels in R. Fri 24 October 2014. Hinrich B. Winther. Figure 1: Spearman correlation heat map with correlation coefficient and significance levels based on the mtcars data set. In a recent paper we included data from a survey we conducted. During the publication process, one of the reviewers asked for a more in depth statistical analysis of the data set. He (she? And the Spearman's rank correlation coefficient (Spearman's rho).
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"scientific writing" - Proven Inconclusive
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QuickTip: Utilizing Machine Learning Methods to Identify Important Variables. Machine Learning is the field of scientific study that concentrates on induction algorithms and on other algorithms that can be said to learn. [1]. In order to identify important variables in a multivariate dataset one can utilize machine learning methods. There are many different machine learning algorithms for different tasks . Spearman Correlation Heat Map with Correlation Coefficients and Significance Levels in R. 2015 Hinr...
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"R" - Proven Inconclusive
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QuickTip: Utilizing Machine Learning Methods to Identify Important Variables. Machine Learning is the field of scientific study that concentrates on induction algorithms and on other algorithms that can be said to learn. [1]. In order to identify important variables in a multivariate dataset one can utilize machine learning methods. There are many different machine learning algorithms for different tasks . Spearman Correlation Heat Map with Correlation Coefficients and Significance Levels in R.
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Archives - Proven Inconclusive
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Archives for Proven Inconclusive. Tue 03 February 2015. QuickTip: Utilizing Machine Learning Methods to Identify Important Variables. Fri 24 October 2014. Spearman Correlation Heat Map with Correlation Coefficients and Significance Levels in R. Thu 24 April 2014. Scientific Blogging with Pelican and Pandoc. QuickTip: Utilizing Machine Learning Methods to Identify Important Variables. Spearman Correlation Heat Map with Correlation Coefficients and Significance Levels in R.